Stephen J. Leybourne

8.7k total citations · 2 hit papers
137 papers, 5.9k citations indexed

About

Stephen J. Leybourne is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance. According to data from OpenAlex, Stephen J. Leybourne has authored 137 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in General Economics, Econometrics and Finance, 100 papers in Economics and Econometrics and 67 papers in Finance. Recurrent topics in Stephen J. Leybourne's work include Monetary Policy and Economic Impact (106 papers), Market Dynamics and Volatility (65 papers) and Financial Risk and Volatility Modeling (59 papers). Stephen J. Leybourne is often cited by papers focused on Monetary Policy and Economic Impact (106 papers), Market Dynamics and Volatility (65 papers) and Financial Risk and Volatility Modeling (59 papers). Stephen J. Leybourne collaborates with scholars based in United Kingdom, Australia and Canada. Stephen J. Leybourne's co-authors include Paul Newbold, David I. Harvey, Brendan McCabe, Robert Taylor, Dimitrios V. Vougas, Terence C. Mills, Robert Sollis, Tae‐Hwan Kim, David Harris and L. Vanessa Smith and has published in prestigious journals such as Biometrika, Journal of Econometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Stephen J. Leybourne

131 papers receiving 5.5k citations

Hit Papers

Testing the equality of prediction mean squared errors 1997 2026 2006 2016 1997 1998 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen J. Leybourne United Kingdom 33 4.4k 3.5k 2.3k 813 385 137 5.9k
George Kapetanios United Kingdom 34 4.5k 1.0× 3.3k 0.9× 1.9k 0.8× 582 0.7× 370 1.0× 220 5.8k
Massimiliano Marcellino Italy 44 4.5k 1.0× 4.2k 1.2× 2.1k 0.9× 1.0k 1.3× 337 0.9× 232 6.1k
Graham Elliott United States 26 5.1k 1.2× 4.2k 1.2× 2.4k 1.0× 643 0.8× 493 1.3× 55 7.0k
Dick van Dijk Netherlands 39 4.0k 0.9× 2.7k 0.8× 3.4k 1.5× 830 1.0× 344 0.9× 172 6.1k
Lucrezia Reichlin United Kingdom 37 5.6k 1.3× 5.7k 1.6× 3.1k 1.4× 1.0k 1.3× 652 1.7× 100 8.1k
Michael P. Clements United Kingdom 35 3.4k 0.8× 3.1k 0.9× 1.4k 0.6× 1.5k 1.8× 251 0.7× 127 4.9k
David I. Harvey United Kingdom 26 2.7k 0.6× 2.1k 0.6× 1.4k 0.6× 788 1.0× 200 0.5× 88 3.8k
Roberto S. Mariano United States 20 4.2k 0.9× 3.3k 0.9× 2.9k 1.3× 1.6k 1.9× 403 1.0× 73 6.7k
Frank Schorfheide United States 37 5.0k 1.1× 5.3k 1.5× 1.8k 0.8× 389 0.5× 238 0.6× 119 6.4k
Terence C. Mills United Kingdom 31 2.9k 0.7× 1.7k 0.5× 1.4k 0.6× 599 0.7× 166 0.4× 190 4.6k

Countries citing papers authored by Stephen J. Leybourne

Since Specialization
Citations

This map shows the geographic impact of Stephen J. Leybourne's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen J. Leybourne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Leybourne more than expected).

Fields of papers citing papers by Stephen J. Leybourne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Leybourne. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen J. Leybourne. The network helps show where Stephen J. Leybourne may publish in the future.

Co-authorship network of co-authors of Stephen J. Leybourne

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Leybourne. A scholar is included among the top collaborators of Stephen J. Leybourne based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen J. Leybourne. Stephen J. Leybourne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Harvey, David I., et al.. (2025). Unit Root Tests for Explosive Financial Bubbles in the Presence of Deterministic Level Shifts. Oxford Bulletin of Economics and Statistics. 87(5). 880–898.
2.
Harvey, David I., et al.. (2024). Testing for Equal Average Forecast Accuracy in Possibly Unstable Environments. Journal of Business and Economic Statistics. 43(3). 643–656.
3.
Harvey, David I., et al.. (2018). Real‐Time Monitoring for Explosive Financial Bubbles. Journal of Time Series Analysis. 39(6). 863–891. 20 indexed citations
4.
Harvey, David I., et al.. (2017). Testing for a unit root against ESTAR stationarity. Studies in Nonlinear Dynamics and Econometrics. 22(1). 1 indexed citations
5.
Harvey, David I., et al.. (2017). Tests for an end-of-sample bubble in financial time series. Econometric Reviews. 36(6-9). 651–666. 28 indexed citations
6.
Leybourne, Stephen J., et al.. (2016). Testing for a Change in Mean under Fractional Integration. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 9(1). 2 indexed citations
7.
Harvey, David I., et al.. (2016). The Impact of the Initial Condition on Covariate Augmented Unit Root Tests. Nottingham ePrints (University of Nottingham). 9(1). 1 indexed citations
8.
Harvey, David I. & Stephen J. Leybourne. (2014). Confidence sets for the date of a break in level and trend when the order of integration is unknown. Journal of Econometrics. 184(2). 262–279. 1 indexed citations
9.
Cavaliere, Giuseppe, David I. Harvey, Stephen J. Leybourne, & Robert Taylor. (2014). Testing for Unit Roots Under Multiple Possible Trend Breaks and Non‐Stationary Volatility Using Bootstrap Minimum Dickey–Fuller Statistics. Journal of Time Series Analysis. 36(5). 603–629. 3 indexed citations
10.
Leybourne, Stephen J., et al.. (2012). ON THE BEHAVIOR OF FIXED-bTREND BREAK TESTS UNDER FRACTIONAL INTEGRATION. Econometric Theory. 29(2). 393–418. 4 indexed citations
11.
Harvey, David I., Stephen J. Leybourne, & Robert Taylor. (2009). REJOINDER. Econometric Theory. 25(3). 658–667. 1 indexed citations
12.
Harris, David, Stephen J. Leybourne, & Brendan McCabe. (2006). Panel Stationarity Tests for Purchasing Power Parity with Cross-Sectional Dependence. SSRN Electronic Journal. 1 indexed citations
13.
Leybourne, Stephen J., Tae‐Hwan Kim, & Paul Newbold. (2005). More powerful modifications of unit root tests allowing structural change. Journal of Statistical Computation and Simulation. 75(11). 869–888. 1 indexed citations
14.
Taylor, Robert & Stephen J. Leybourne. (2004). Some New Tests for a Change in Persistence. Economics bulletin. 3(39). 1–10. 3 indexed citations
15.
Leybourne, Stephen J., et al.. (2003). Seasonal Unit Root Tests Based on Forward and Reverse Estimation. University of Birmingham Research Portal (University of Birmingham). 2 indexed citations
16.
McCabe, Brendan, Stephen J. Leybourne, & David Harris. (2003). Testing for Stochastic Cointegration and Evidence for Present Value Models. RePEc: Research Papers in Economics. 7 indexed citations
17.
Leybourne, Stephen J., Paul Newbold, Dimitrios V. Vougas, & Tae‐Hwan Kim. (2002). A Direct Test for Cointegration Between a Pair of Time Series. SSRN Electronic Journal. 4 indexed citations
18.
Taylor, Robert & Stephen J. Leybourne. (1999). Detecting Seasonal Unit Roots: an Approach Based on the Sample Autocorrelation Function. Manchester School. 67(3). 261–286. 2 indexed citations
19.
Leybourne, Stephen J. & Brendan McCabe. (1994). A Consistent Test for a Unit Root. Journal of Business and Economic Statistics. 12(2). 157–166. 184 indexed citations
20.
Crafts, Nicholas, Stephen J. Leybourne, & Terence C. Mills. (1990). Measurement of trend growth in European industrial output before 1914: Methodological issues and new estimates. Explorations in Economic History. 27(4). 442–467. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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